Digitalization and financial statements audit: future research directions and bibliographic mapping.

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-07, 2026-07-04 · read from full text

This preprint studies how digital technologies are being incorporated into financial statements auditing and aims to map future research directions using a scientometric approach. The authors analyze a representative set of publications retrieved from the Web of Science Core Collection (focused on digitalization of financial statement audits), applying bibliometric methods and visualization (e.g., VOSviewer) to identify mainstream development pathways. They report that the bibliometric-based mapping can determine key future directions in audit research, noting that the use of statistical data analysis, machine learning, and artificial intelligence by audit companies has been mainly since 2017. A major caveat is that the work is a preprint that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract Financial statements audit is a necessary element of the market economy and the expansion of economic ties on trusting relationships. One of the latest trends in this field is the use of digital technologies. Statistical methods of data analysis, machine learning, artificial intelligence began to be used by audit companies only since 2017. At the moment, there are few publications in scientific databases with an integrated scientometric approach to identify the most significant, applicable and promising research areas in the field of financial statements audit. Analysis of modern literature using innovative methods and software products allows us to highlight areas of audit science that will have the mainstream interest to researchers and companies. The empirical basis for the study was the bibliographic information system Web of Science Core collection due to representative sample of works devoted to digitalization of financial statements audit. What are the main development vectors of research in the field of financial statements auditing? Analysis of bibliometric information and building a bibliometric-based map allowed determining the mainstream ways of development of the auditing field and the future research directions.
Full text 10,334 characters · extracted from preprint-html · click to expand
Digitalization and financial statements audit: future research directions and bibliographic mapping. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Digitalization and financial statements audit: future research directions and bibliographic mapping. Marina Arkhipova, Zhuldyz Dyussekeyeva This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6887452/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Financial statements audit is a necessary element of the market economy and the expansion of economic ties on trusting relationships. One of the latest trends in this field is the use of digital technologies. Statistical methods of data analysis, machine learning, artificial intelligence began to be used by audit companies only since 2017. At the moment, there are few publications in scientific databases with an integrated scientometric approach to identify the most significant, applicable and promising research areas in the field of financial statements audit. Analysis of modern literature using innovative methods and software products allows us to highlight areas of audit science that will have the mainstream interest to researchers and companies. The empirical basis for the study was the bibliographic information system Web of Science Core collection due to representative sample of works devoted to digitalization of financial statements audit. What are the main development vectors of research in the field of financial statements auditing? Analysis of bibliometric information and building a bibliometric-based map allowed determining the mainstream ways of development of the auditing field and the future research directions. Macroeconomics Bibliometric mapping Audit VOSviewer Financial Statements Big 4 digitalization Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6887452","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":470860177,"identity":"af50d339-4f74-4757-a5fc-2f3801cef760","order_by":0,"name":"Marina Arkhipova","email":"","orcid":"","institution":"Higher School of Economics","correspondingAuthor":false,"prefix":"","firstName":"Marina","middleName":"","lastName":"Arkhipova","suffix":""},{"id":470860178,"identity":"22b01904-4464-41be-8184-342156c9dcea","order_by":1,"name":"Zhuldyz Dyussekeyeva","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBElEQVRIiWNgGAWjYHACAzApAeHYADFj4wFStKSBtDSQpOUwmMSrRb6BeZs0z586Ocn2HsPHPDXn7da2HwbaUmMTjUsLYwNbmTRv22FjaZ4zxsY8x24nbzuTCNRyLC23AYcWZgYeM2nehgOJ8yRyzCRnsN1ONjsA1MLYcBinFjaQFqDD6ufJvzH/OePfuWSz8w/xa+EBa2FjTpCW4DFj+Nh2wM7sBgFbJJjZii3nth02nNmTVizxsS85wewG0JYEPH6Rb2/eeOPNnzp5ieOHN35I+GZnb3Y+/eGDDzU2OLUA/c8CjRIOcAQlglUm4FIO1fQBQrM/AJH2+BWPglEwCkbBSAQA0OBcy4lqTKoAAAAASUVORK5CYII=","orcid":"","institution":"Higher School of Economics","correspondingAuthor":true,"prefix":"","firstName":"Zhuldyz","middleName":"","lastName":"Dyussekeyeva","suffix":""}],"badges":[],"createdAt":"2025-06-13 10:41:03","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6887452/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6887452/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85574828,"identity":"e075b262-994c-4b05-841e-f62aed31610c","added_by":"auto","created_at":"2025-06-27 18:01:02","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":778549,"visible":true,"origin":"","legend":"","description":"","filename":"article2024.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6887452/v1_covered_c0803fb7-302a-4dac-b096-f1a9db7aec22.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eDigitalization and financial statements audit: future research directions and bibliographic mapping.\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"National Research University Higher School of Economics","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Bibliometric mapping, Audit, VOSviewer, Financial Statements, Big 4, digitalization","lastPublishedDoi":"10.21203/rs.3.rs-6887452/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6887452/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eFinancial statements audit is a necessary element of the market economy and the expansion of economic ties on trusting relationships. One of the latest trends in this field is the use of digital technologies. Statistical methods of data analysis, machine learning, artificial intelligence began to be used by audit companies only since 2017. At the moment, there are few publications in scientific databases with an integrated scientometric approach to identify the most significant, applicable and promising research areas in the field of financial statements audit. Analysis of modern literature using innovative methods and software products allows us to highlight areas of audit science that will have the mainstream interest to researchers and companies. The empirical basis for the study was the bibliographic information system Web of Science Core collection due to representative sample of works devoted to digitalization of financial statements audit. What are the main development vectors of research in the field of financial statements auditing? Analysis of bibliometric information and building a bibliometric-based map allowed determining the mainstream ways of development of the auditing field and the future research directions.\u003c/p\u003e","manuscriptTitle":"Digitalization and financial statements audit: future research directions and bibliographic mapping.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-27 17:52:54","doi":"10.21203/rs.3.rs-6887452/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a74f3755-f727-4e1d-9de2-817a60d89481","owner":[],"postedDate":"June 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":50005708,"name":"Macroeconomics"}],"tags":[],"updatedAt":"2025-06-27T17:52:54+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-27 17:52:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6887452","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6887452","identity":"rs-6887452","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00